K-Space Signal Amplification Gain Assignment
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Solution Overview
Problem
Current MR imaging technologies face challenges in achieving optimal image quality due to the need for balancing signal amplification gains in K-space, leading to either excessive amplification of high-intensity signals or insufficient amplification of low-intensity signals, which affects the signal-to-noise ratio (SNR) of reconstructed images.
Innovation Solution
A method and apparatus that assign different amplification gains to distinct signal regions within the K-space, with a lower gain for high-intensity central regions and a higher gain for low-intensity peripheral regions, allowing for flexible amplification and improved SNR.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a lower amplification gain is utilized to adapt to high-intensity signals at the center of K-space, then signal overflow is avoided, but signal-to-noise ratio (SNR) of the reconstructed image decreases
Solution Approach 1:
The patent applies local quality by assigning different amplification gains to different regions of K-space. Specifically, a first amplification gain is assigned to a first signal region (typically central region with high-intensity signals) and a second amplification gain is assigned to a second signal region (typically peripheral region with low-intensity signals). This allows each region to be amplified according to its specific signal characteristics, preventing overflow in high-intensity regions while ensuring sufficient amplification in low-intensity regions, thereby optimizing overall image quality.
2Device complexity
If a single amplification gain is applied uniformly to all K-space signals, then device complexity is reduced, but image quality deteriorates due to either excessive or insufficient amplification
Solution Approach 1:
The patent implements local quality by dividing K-space into multiple signal regions and applying different amplification gains to each region. This approach maintains relatively simple device architecture while significantly improving image quality through region-specific amplification strategies.
Solution Approach 2:
The patent applies segmentation by dividing the K-space signal into multiple distinct regions (first signal region and second signal region) based on signal intensity characteristics. Each segmented region then receives appropriate amplification treatment, allowing the system to achieve optimized image quality without requiring complex hardware modifications.
Data Source
AI summary
Methods and apparatuses for processing MR signal are disclosed herein. An exemplary method comprises: when acquired K-space signals are amplified, assigning a first amplification gain to signals within a first signal region in the K space, and assigning a second amplification gain to signals within a second signal region in the K space.